Medical imaging systems

• explain the physical interaction mechanisms for ultrasound, X-ray, CT, MR, SPECT, and PET scanning.
• explain the signal processing involved in making an ultrasound image.
• explain signal processing methods for estimating blood velocity using ultrasound.
• explain back-projection algorithms used in CT, MR, and PET scanners.
• write programs in Matlab that implement signal processing methods and estimators used in medical imaging.
• write reports describing quantitative results from Matlab programs.
• understand journal articles on medical imaging and implement signal processing algorithms from the literature.
• give a quantitative evaluation of signal and image processing algorithms in terms of performance and accuracy.
• write a scientific report explaining a signal processing algorithm implementation made in Matlab and quantifying its performance.
• identify anatomic structures in a clinical image.
• use AI tools to assist in writing programs, and document how they have been used, and how the code’s function was validated

Physics of ultrasound scanning. ultrasound imaging. Signal processing in flow estimation systems (Doppler Systems). X-ray physics and imaging. CT scanning and reconstruction. MR scanning and reconstruction. PET, PET/CT, PET/MR, and SPECT scanning. Matlab exercises. Implementation of signal processing. Report writing.

22052/22481/02002/02003, Courses in signal processing of stochastic signals and introduction to medical imaging systems. Knowledge of programming with Matlab or Python.

Lectures, exercises, projects and two reports.

Minimum: 5.

Please be aware that this course will only be held if the required minimum number of participants is met. You will be informed 8 days before the start of the course, whether the course will be held.